Generative A.I., from GANs to CLIP, with Python and Pytorch

Generative A.I., from GANs to CLIP, with Python and Pytorch

Generative A.I. is the present and future of A.I. and deep learning, and it will touch every part of our lives. It is the part of A.I that is closer to our unique human capability of creating, imagining and inventing. By doing this course, you gain advanced knowledge and practical experience in the most promising part of A.I., deep learning, data science and advanced technology.

The course takes you on a fascinating journey in which you learn gradually, step by step, as we code together a range of generative architectures, from basic to advanced, until we reach multimodal A.I, where text and images are connected in incredible ways to produce amazing results.

At the beginning of each section, I explain the key concepts in great depth and then we code together, you and me, line by line, understanding everything, conquering together the challenge of building the most promising A.I architectures of today and tomorrow. After you complete the course, you will have a deep understanding of both the key concepts and the fine details of the coding process.

What a time to be alive! We are able to code and understand architectures that bring us home, home to our own human nature, capable of creating and imagining. Together, we will make it happen. Let's do it!

Learn to code the most creative and exciting A.I. architectures, generative networks, from basic to advanced and beyond

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What you will learn

• How to code generative A.I architectures from scratch using Python and Pytorch
• How generative architectures work, in great depth, from GANs to multimodal A.I, understanding every little detail in the process
• In addition to the coding, every section begins with an in-depth review of the key concepts related to these architectures

Rating: 4.60377

Level: All Levels

Duration: 8 hours

Instructor: Javier Ideami